Eigen-model projections for protected on-line signature recognition

Authors:
Emanuele Maiorana;Enrique Argones Rúa;Jose Luis Alba Castro;Patrizio Campisi
Affiliations:
Department of Applied Electronics, University Roma Tre;Department of Signal Theory and Communications, University of Vigo;Department of Signal Theory and Communications, University of Vigo;Department of Applied Electronics, University Roma Tre
Venue:
BioID'11 Proceedings of the COST 2101 European conference on Biometrics and ID management
Year:
2011

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Abstract

The protection of the templates stored in a biometric recognition system represents an issue of paramount importance for the security and privacy of the enrolled users, and directly affects the successful deployment of the system itself. In this paper we propose a protected on-line signature recognition system where the properties of Universal Background Models are exploited to provide a small dimensionality and a limited intra-class variability signature representation. The reported experimental results show that the employed signature representation and protection scheme allow to reach high recognition accuracy while providing protection to the considered biometric data.